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The article discusses PromptRepo, a platform that allows users to fine-tune large language models with their own data and prompts, enabling the creation of customized AI assistants for various applications.
We built Promptrepo to make finetuning accessible to product teams — not just ML engineers. Last week, OpenAI’s CPO shared how they use fine-tuning for everything from customer support to deep research, and called it the future for serious AI teams. Yet most teams I know still rely on prompting, because fine-tuning is too technical, while the people who have the training data (product managers and domain experts) are often non-technical. With Promptrepo, they can now:
- Add training examples in Google Sheets
- Click a button to train
- Deploy and test instantly
- Use OpenAI, Claude, Gemini or Llama models
We’ve used this internally for years to power AI workflows in our products (Formfacade, Formesign, Neartail), and we're now opening it up to others. Would love your feedback and happy to answer any questions!
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Try it free - https://promptrepo.com/finetune
Demo video - https://www.youtube.com/watch?v=e1CTin1bD0w
Why we built it - https://guesswork.co/support/post/fine-tuning-is-the-future-...